Fuzzy Comprehensive Evaluation Source Code in MATLAB

I have developed a comprehensive MATLAB source code for fuzzy comprehensive evaluation, which was originally created for my graduation thesis. This implementation leverages MATLAB's robust computational environment, widely recognized in engineering and scientific computing applications. The fuzzy comprehensive evaluation method integrates multiple criteria through predefined fuzzy logic rules and membership functions, enabling systematic assessment of complex decision-making scenarios. The code architecture includes three key components: 1) Factor set establishment with customizable input parameters 2) Fuzzy relation matrix construction using appropriate membership functions 3) Comprehensive evaluation through weighted averaging of fuzzy operators This methodology finds extensive applications in decision support systems, risk assessment frameworks, and quality control processes across various industries. The source code is structured with modular functions, allowing users to easily adapt the evaluation criteria, modify weighting factors, and customize fuzzy rules according to specific application requirements. The implementation demonstrates proper handling of fuzzy inference systems and includes clear documentation for each computational step. I welcome interested researchers and developers to utilize this code base, which can be extended for specialized applications or integrated with larger analytical systems. Please feel free to examine the implementation and provide feedback regarding potential enhancements or specific use cases.